Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Signal Processing Advances in Robots and Autonomy | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 948716 3 pages doi 2009 948716 Editorial Signal Processing Advances in Robots and Autonomy Frank Ehlers 1 Fredrik Gustafsson EURASIP Member 2 and Matthijs Spaan3 1NURC NATO Research Centre Viale S. Bartolomeo 400 19126 La Spezia Italy 2 Department of Electrical Engineering Linkoping University 58183 Linkoping Sweden 3Instituto de Sistemas e Robótica Instituto Superior Tecnico Avenida Rovisco Pais 1 1049-001 Lisboa Portugal Correspondence should be addressed to Frank Ehlers frankehlers@ Received 16 June 2009 Accepted 16 June 2009 Copyright 2009 Frank Ehlers et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The capabilities of robots and autonomous systems have increased dramatically over the past years. This success story partly depends on advances in signal processing which provide appropriate and efficient analysis of sensor data and enable autonomy. A key element of the transition of signal processing output to its exploitation inside robots and autonomous systems is the way uncertainty is managed uncertainty originating from insufficient sensor data uncertainty about effects of future autonomous actions and in the case of distributed sensors and actuators like for a team of robots uncertainty about communication lines. The aim of this special issue is to focus on recent developments that allow passing this transition path successfully showing either where signal processing is used in robotics and autonomy or where robotics and autonomy had special demands that had not been fulfilled by signal processing before. The articles in this special issue cover the following topics. Autonomous Navigation Vector Field Driven Design for Lightweight Signal Processing and Control Schemes for .
